Session: 05-02 Topics on Gas Turbine Diagnostics

Paper Number: 83076

83076 - A GTC-CGC Health Assessment Method for Gas Turbine Engine 

Performance degradation can affect the health state of gas turbine engines. A hot topic of current research is how to evaluate the health status of gas turbine engines in real-time, quantitatively, and accurately. This paper studies an unsupervised condition recognition method of gas turbine engines based on K-means, which is used to identify the operating data of variable conditions. Then an optimal weight calculation method based on a convex optimization algorithm was proposed. The subjective weight and objective weight of the health evaluation index were calculated using the empirical signal-to-noise ratio(eSNR) and the entropy weight method(EWM). Combining subjective and objective weights is accomplished by constructing a combined weight formula conforming to the properties of a convex function, and the optimal weight is determined by a convex optimization algorithm(CVX). The subjective and objective evaluation models are developed using grey target calculation(GTC) and cloud gravity centre (CGC) method. By complementing subjective and objective assessment methods, the health status results of gas turbine engines can be more accurate and reliable. A dynamic health assessment model was established by the sliding time window method to track and calculate the real-time health value of the system. Finally, the test was carried out based on the dataset of run-to-failure data for turbofan engines, and the effectiveness of the proposed health assessment method was verified and analyzed.

Presenting Author: Ran Ao Harbin Engineering University

Presenting Author Biography: an Ao(1997-), she is currently a graduate student for the Ph.D. degree of Power and Energy Engineering at Harbin Engineering University. Mrs. Ao's research interests are in the area of gas turbine performance monitoring, gas turbine health estimation and gas turbine health management.

Authors:

Ran Ao Harbin Engineering University
Yunpeng Cao Harbin Engineering University
Junqi Luan Harbin Engineering University
Li Yan Harbin Engineering University
Xiaoyu Han Harbin Engineering University
Shuying Li Harbin Engineering University